Dataset Versions

2023-05-01 1:16pm

v1

2023-05-01 1:16pm

Generated on May 1, 2023

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YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

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3329 Total Images

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Dataset Split

Train Set 80%

2673Images

Valid Set 13%

441Images

Test Set 6%

215Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal

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Illegal Dumping

Annotate

6 / 12

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valid

Labels

Attributes

Raw Data

Annotations

Group:

illegal-dumping

CLASSES

LAYERS

dump

1

furniture

1

Unused Classes

mattress

pallet

rubbish

trolley

tyre

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

1674860557191.jpg

640x640

0.41MP

Updated May 1, 2023

3:16AM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "mattress": 84,
        "furniture": 316,
        "pallet": 281,
        "dump": 732,
        "rubbish": 1069,
        "tyre": 63,
        "trolley": 560
    },
    "datasets": [
        "xxam5roSEN8jAm5UsVIF"
    ],
    "destination": "c371c09791d856872dc695f2abcb7f05",
    "height": 640,
    "id": "CaOjKMRR33HHRIxiUVnA",
    "label": [],
    "labels": [],
    "name": "1674860557191.jpg",
    "numSteps": 2,
    "owner": "oorRKVFRkrhA9rNYwPwBBD3OP6i2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "CaOjKMRR33HHRIxiUVnA",
    "split": "valid",
    "split.xxam5roSEN8jAm5UsVIF.1": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1682910974,
        "_nanoseconds": 757000000
    },
    "updatedDate": "May 1, 2023",
    "updatedTime": "3:16AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "xxam5roSEN8jAm5UsVIF/1"
    ],
    "width": 640
}

{
    "boxes": [
        {
            "label": "dump",
            "x": 355,
            "y": 416.5,
            "width": 255,
            "height": 176
        },
        {
            "label": "furniture",
            "x": 355,
            "y": 417.5,
            "width": 255.5,
            "height": 176
        }
    ],
    "height": 640,
    "key": "1674860557191.jpg",
    "width": 640
}

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